Thursday, March 23, 2023
HomeBig DataManufacturing Visibility: Metrics Monitoring and Alerting

Manufacturing Visibility: Metrics Monitoring and Alerting

Pulling again the curtain

One factor that makes Rockset so magical is the truth that it “simply works”. After years of rigorously provisioning, managing, and tuning their information methods, clients really feel that Rockset’s serverless providing is just too good to be true (we’ve heard this actual phrase from many shoppers!). We pleasure ourselves on having abstracted away the Rube Goldberg-like complexities inherent in sustaining indexes and ETL pipelines. Offering visibility into this complexity is a crucial step to assist our customers get probably the most out of our product.

As our customers more and more depend on Rockset to energy their purposes, the identical questions come up:

  • How do I do know after I have to improve to a bigger Digital Occasion?
  • Can I combine Rockset into my monitoring and alerting toolkit?
  • How can I measure my information and question latencies?

To assist reply these questions, we got down to present our customers all the pieces they may probably wish to see, avoiding the overly difficult.

We needed to offer a 360 diploma overview for each customers within the extra exploratory, constructing part, in addition to these able to take Rockset into manufacturing. With this in thoughts, we constructed two new options:

  1. Monitoring and metrics instantly constructed into the Rockset Console
  2. The means to combine with present third-party monitoring companies


Bringing our customers real-time metrics on the well being of their Rockset assets felt like the right alternative for dogfooding, and so dogfood we did. Our new Metrics Dashboard is totally powered by Rockset!

Selecting metrics

At a excessive stage, integrating Rockset into your utility consists of:

  1. Selecting a Digital Occasion
  2. Ingesting information into collections
  3. Querying your information

The metrics we offer mirror this circulation, and holistically cowl any issues you might come throughout when constructing with Rockset. They fall into 4 classes:

  1. Digital Occasion

    1. CPU utilization (by leaf / aggregator)
    2. Allotted compute (by leaf / aggregator)
    3. Reminiscence utilization (by leaf / aggregator)
    4. Allotted reminiscence (by leaf / aggregator)
  2. Question

    1. Rely (whole depend, and by Question Lambda)
    2. Latency (latency throughout all queries, and by Question Lambda)
    3. 4XX, and 5XX errors (whole depend)
  3. Ingest

    1. Replication lag (by assortment)
    2. Ingest errors (whole throughout all collections)
    3. Streaming ingest (whole throughout all collections)
    4. Bulk ingest (whole throughout all collections)
  4. Storage

    1. Whole storage dimension (whole throughout all collections, and by assortment)
    2. Whole doc depend (whole throughout all collections, and by assortment)

In selecting what metrics to indicate, our baseline purpose was to assist customers reply probably the most recurring questions, resembling:

  • How can I measure my question latencies? What latencies have my Question Lambda’s been seeing? Have there been any question errors? Why did my question latency spike?

    • Question latencies and errors throughout all queries can be found, in addition to latencies and errors per Question Lambda in Question Lambda particulars.
    • In case your question latency spiked within the final 24 hours, you possibly can drill down by question latency by Question Lambda if relevant.
  • What is the information latency between my exterior supply and my Rockset assortment? Have there been any parse errors?

    • Now you can view replication lag, in addition to ingest parse errors per assortment in assortment particulars.
  • How do I do know after I have to improve to a bigger Digital Occasion?

    • When you see spikes in CPU or reminiscence utilization on your Digital Occasion, you must most likely stagger your question load, or improve to a bigger Digital Occasion. Verify your question depend / latency for the corresponding timestamp for additional affirmation.

Try the brand new dashboard within the Metrics tab of the Rockset Console!

Integrating with present monitoring companies

When you’ve achieved your due diligence and have determined that Rockset is the best match on your utility wants, you’ll possible wish to combine Rockset into your present monitoring and alerting workflows.

Each staff has distinctive monitoring and alerting wants, and employs an enormous array of third-party instruments and frameworks. As an alternative of reinventing the wheel and making an attempt to construct our personal framework, we needed to construct a mechanism that will allow customers to combine Rockset into any present device in the marketplace.

Metrics Endpoint

We expose metrics information in a Prometheus scraping suitable format, already an open customary, enabling you to combine with most of the hottest monitoring companies, together with however not restricted to:

  1. Prometheus (and Alertmanager)
  2. Grafana
  3. Graphite
  4. Datadog
  5. AppDynamics
  6. Dynatrace
  7. New Relic
  8. Amazon CloudWatch
  9. …and plenty of extra

$ curl -u {API key}:

# HELP rockset_collections Variety of collections.
# TYPE rockset_collections gauge
rockset_collections{virtual_instance_id="30",workspace_name="commons",} 20.0 
rockset_collections{virtual_instance_id="30",workspace_name="myWorkspace",} 2.0 
rockset_collections{virtual_instance_id="30",workspace_name="myOtherWorkspace",} 1.0
# HELP rockset_collection_size_bytes Assortment dimension in bytes. 
# TYPE rockset_collection_size_bytes gauge 
rockset_collection_size_bytes{virtual_instance_id="30",workspace_name="commons",collection_name="_events",} 3.74311622E8 

With this endpoint and the instruments it integrates with, you possibly can:

  • Programmatically monitor the state of your Rockset manufacturing metrics
  • Configure motion gadgets, like alerts based mostly on CPU utilization thresholds
  • Arrange auto remediation by altering Digital Occasion sizes based mostly on manufacturing masses

This endpoint is disabled by default, and could be switched on within the Metrics tab ( within the Rockset Console.


At Rockset, Grafana and Prometheus are two of our important monitoring pillars. For the rollout of our visibility efforts, we arrange our inner Prometheus scraper to hit our personal metrics endpoint. From there, we created charts and alerts which we use in tandem with present metrics and alerts to observe the brand new function!

Get began

An in depth breakdown of the metrics we export by our new endpoint is obtainable in our documentation.

We’ve got a primary Prometheus configuration file and an Alertmanager guidelines template in our group Github repository that can assist you get began.



Please enter your comment!
Please enter your name here

Most Popular

Recent Comments